InfoQ Homepage Performance Tuning Content on InfoQ
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The Trouble with Memory
Kirk Pepperdine takes a look at the telltale signs that a JVM based application is in the 60% memory inefficiency area, and demonstrates the steps one can take to attack this problem.
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Applying Concurrency Cookbook Recipes to SPEC JBB
Monica Beckwith talks about how she followed the recipes appearing in Doug Lea's cookbook and applied them to SPEC JBB, and reports her findings.
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Deep Learning for Application Performance Optimization
Zoran Sevarac presents his experience and best practice for autonomous, continuous application performance tuning using deep learning.
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Java at Speed
Gil Tene talks about getting the most of Java applications and understanding some of the optimizations the latest crop of JVMs are able to apply when running on the latest servers.
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PerfView: The Ultimate .NET Performance Tool
Sasha Goldshtein talks about PerfView, an open source tool for .NET performance diagnosis used in production environments to solve CPU, wall-clock time, and memory usage issues.
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Continuous Optimization of Microservices Using ML
Ramki Ramakrishna shares Twitter’s recent experience in applying Bayesian optimization to the performance tuning problem, discussing a service used for continuously optimizing microservices.
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Understanding Python Memory at Instagram
Min Ni discusses how Python memory profiling is done at Instagram, insights from memory profiling data, and learnings from tuning and improving Python memory garbage collection.
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Performance beyond Throughput: An OpenJ9 Case Study
Marius Pirvu talks about the new advancements in the area of JVM performance using the latest open source JVM technology at Eclipse OpenJ9 running with OpenJDK.
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Java at Speed: Getting the Most out of Modern Hardware
Gil Tene discusses some of the optimizations and capabilities that the latest crop of JVMs are able to apply when running on the latest servers, and performance issues with financial applications.
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Speedup Your Java Apps with Hardware Counters
Sergey Kuksenko discusses how Performance Monitoring Unit works, what Hardware Counters are, which tools have friendship with Java and how to use HWC for speeding up our Java applications.
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Unorthodox Paths to High Performance
Alex Rasmussen examines some lessons learned while building record-setting sorting systems at UC San Diego.
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Examining Low Pause Garbage Collection in Java
John Oliver takes a look at both G1 and Shenandoah, explaining how they work, what are their limitations, providing tuning advice. He also looks at recent and future changes to garbage collection.
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